awesome-mlops-kubernetes and awesome-mlops-platforms
These are complementary resources, with "awesome-mlops-kubernetes" focusing on tools for a specific deployment environment and "awesome-mlops-platforms" offering a broader overview of integrated MLOps solutions that might or might not utilize Kubernetes.
About awesome-mlops-kubernetes
awesome-mlops/awesome-mlops-kubernetes
A curated list of awesome open source tools and commercial products that will help you train, deploy, monitor, version, scale, and secure your production machine learning on kubernetes 🚀
Managing and operating machine learning models in a production environment can be complex. This project helps ML engineers and data scientists discover tools to streamline tasks like training, deployment, monitoring, and version control for their machine learning models. It provides a curated list of solutions that integrate with Kubernetes infrastructure.
About awesome-mlops-platforms
awesome-mlops/awesome-mlops-platforms
A curated list of awesome open source and commercial MLOps platforms 🚀
This is a curated list of tools and platforms designed to help machine learning engineers, data scientists, and MLOps practitioners manage the entire lifecycle of their machine learning projects. It takes a high-level need to deploy and manage AI models and provides options for platforms that streamline development, training, and deployment. The primary users are individuals responsible for bringing machine learning models from experimentation to production.
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